@inproceedings{fu2023effectiveness,
  title={On the effectiveness of parameter-efficient fine-tuning},
  author={Fu, Zihao and Yang, Haoran and So, Anthony Man-Cho and Lam, Wai and Bing, Lidong and Collier, Nigel},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={37},
  number={11},
  pages={12799--12807},
  year={2023}
}


@article{li2023fair,
  title={Fair text-to-image diffusion via fair mapping},
  author={Li, Jia and Hu, Lijie and Zhang, Jingfeng and Zheng, Tianhang and Zhang, Hua and Wang, Di},
  journal={arXiv preprint arXiv:2311.17695},
  year={2023}
}

@article{friedrich2023FairDiffusion,
      title={Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness}, 
      author={Felix Friedrich and Manuel Brack and Lukas Struppek and Dominik Hintersdorf and Patrick Schramowski and Sasha Luccioni and Kristian Kersting},
      year={2023},
      journal={arXiv preprint at arXiv:2302.10893}
}

@inproceedings{bansal2022well,
  title={How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?},
  author={Bansal, Hritik and Yin, Da and Monajatipoor, Masoud and Chang, Kai-Wei},
  booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
  pages={1358--1370},
  year={2022}
}

@inproceedings{zhang2023iti,
  title={Iti-gen: Inclusive text-to-image generation},
  author={Zhang, Cheng and Chen, Xuanbai and Chai, Siqi and Wu, Chen Henry and Lagun, Dmitry and Beeler, Thabo and De la Torre, Fernando},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3969--3980},
  year={2023}
}


@article{sakurai2025fairt2i,
  title={FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing},
  author={Sakurai, Jinya and Sato, Issei},
  journal={arXiv preprint arXiv:2502.03826},
  year={2025}
}

@article{zmigrod2019counterfactual,
  title={Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology},
  author={Zmigrod, Ran and Mielke, Sabrina J and Wallach, Hanna and Cotterell, Ryan},
  journal={arXiv preprint arXiv:1906.04571},
  year={2019}
}

@article{webster2020measuring,
  title={Measuring and reducing gendered correlations in pre-trained models},
  author={Webster, Kellie and Wang, Xuezhi and Tenney, Ian and Beutel, Alex and Pitler, Emily and Pavlick, Ellie and Chen, Jilin and Chi, Ed and Petrov, Slav},
  journal={arXiv preprint arXiv:2010.06032},
  year={2020}
}


@inproceedings{li2024self,
  title={Self-discovering interpretable diffusion latent directions for responsible text-to-image generation},
  author={Li, Hang and Shen, Chengzhi and Torr, Philip and Tresp, Volker and Gu, Jindong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12006--12016},
  year={2024}
}

@article{shen2023finetuning,
  title={Finetuning text-to-image diffusion models for fairness},
  author={Shen, Xudong and Du, Chao and Pang, Tianyu and Lin, Min and Wong, Yongkang and Kankanhalli, Mohan},
  journal={arXiv preprint arXiv:2311.07604},
  year={2023}
}

@inproceedings{tanjim2024discovering,
  title={Discovering and mitigating biases in CLIP-based image editing},
  author={Tanjim, Md Mehrab and Singh, Krishna Kumar and Kafle, Kushal and Sinha, Ritwik and Cottrell, Garrison W},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={2984--2993},
  year={2024}
}


@article{serengil2024lightface,
  title     = {A Benchmark of Facial Recognition Pipelines and Co-Usability Performances of Modules},
  author    = {Serengil, Sefik and Ozpinar, Alper},
  journal   = {Journal of Information Technologies},
  volume    = {17},
  number    = {2},
  pages     = {95-107},
  year      = {2024},
  doi       = {10.17671/gazibtd.1399077},
  url       = {https://dergipark.org.tr/en/pub/gazibtd/issue/84331/1399077},
  publisher = {Gazi University}
}


@misc{ke_musiq_2021,
  title     = {{MUSIQ}: Multi-scale Image Quality Transformer},
  author    = {Ke, Junjie and Wang, Qifei and Wang, Yilin and Milanfar, Peyman and Yang, Feng},
  year      = {2021},
  month     = aug,
  url       = {http://arxiv.org/abs/2108.05997},
  doi       = {10.48550/arXiv.2108.05997},
  note      = {ICCV 2021}
}

@misc{hessel_clipscore_2022,
  title     = {{CLIPScore}: A Reference-free Evaluation Metric for Image Captioning},
  author    = {Hessel, Jack and Holtzman, Ari and Forbes, Maxwell and Bras, Ronan Le and Choi, Yejin},
  year      = {2022},
  month     = mar,
  url       = {http://arxiv.org/abs/2104.08718},
  doi       = {10.48550/arXiv.2104.08718}
}

@misc{teo_measuring_2021,
  title     = {Measuring Fairness in Generative Models},
  author    = {Teo, Christopher T. H. and Cheung, Ngai-Man},
  year      = {2021},
  month     = jul,
  url       = {http://arxiv.org/abs/2107.07754},
  doi       = {10.48550/arXiv.2107.07754},
  note      = {ICML 2021 Workshop}
}

@article{kim2023stereotyping,
  title={De-stereotyping text-to-image models through prompt tuning},
  author={Kim, Eunji and Kim, Siwon and Shin, Chaehun and Yoon, Sungroh},
  year={2023}
}

@article{al2024equiprompt,
  title={EquiPrompt: Debiasing Diffusion Models via Iterative Bootstrapping in Chain of Thoughts},
  author={Al Sahili, Zahraa and Patras, Ioannis and Purver, Matthew},
  journal={arXiv e-prints},
  pages={arXiv--2406},
  year={2024}
}

@inproceedings{bianchi2023easily,
  title={Easily accessible text-to-image generation amplifies demographic stereotypes at large scale},
  author={Bianchi, Federico and Kalluri, Pratyusha and Durmus, Esin and Ladhak, Faisal and Cheng, Myra and Nozza, Debora and Hashimoto, Tatsunori and Jurafsky, Dan and Zou, James and Caliskan, Aylin},
  booktitle={Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency},
  pages={1493--1504},
  year={2023}
}

@inproceedings{orgad2023editing,
  title={Editing implicit assumptions in text-to-image diffusion models},
  author={Orgad, Hadas and Kawar, Bahjat and Belinkov, Yonatan},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={7053--7061},
  year={2023}
}

@inproceedings{gandikota2024unified,
  title={Unified concept editing in diffusion models},
  author={Gandikota, Rohit and Orgad, Hadas and Belinkov, Yonatan and Materzy{\'n}ska, Joanna and Bau, David},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={5111--5120},
  year={2024}
}


@inproceedings{parihar2024balancing,
  title={Balancing act: distribution-guided debiasing in diffusion models},
  author={Parihar, Rishubh and Bhat, Abhijnya and Basu, Abhipsa and Mallick, Saswat and Kundu, Jogendra Nath and Babu, R Venkatesh},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={6668--6678},
  year={2024}
}

@article{sadat2023cads,
  title={CADS: Unleashing the diversity of diffusion models through condition-annealed sampling},
  author={Sadat, Seyedmorteza and Buhmann, Jakob and Bradley, Derek and Hilliges, Otmar and Weber, Romann M},
  journal={arXiv preprint arXiv:2310.17347},
  year={2023}
}


@inproceedings{ramesh2021zero,
  title={Zero-shot text-to-image generation},
  author={Ramesh, Aditya and Pavlov, Mikhail and Goh, Gabriel and Gray, Scott and Voss, Chelsea and Radford, Alec and Chen, Mark and Sutskever, Ilya},
  booktitle={International conference on machine learning},
  pages={8821--8831},
  year={2021},
  organization={Pmlr}
}

@article{chuang2023debiasing,
  title={Debiasing vision-language models via biased prompts},
  author={Chuang, Ching-Yao and Jampani, Varun and Li, Yuanzhen and Torralba, Antonio and Jegelka, Stefanie},
  journal={arXiv preprint arXiv:2302.00070},
  year={2023}
}


@inproceedings{kleindessner2023efficient,
  title={Efficient fair PCA for fair representation learning},
  author={Kleindessner, Matth{\"a}us and Donini, Michele and Russell, Chris and Zafar, Muhammad Bilal},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  pages={5250--5270},
  year={2023},
  organization={PMLR}
}


@inproceedings{esser2024scaling,
  title={Scaling rectified flow transformers for high-resolution image synthesis},
  author={Esser, Patrick and Kulal, Sumith and Blattmann, Andreas and Entezari, Rahim and M{\"u}ller, Jonas and Saini, Harry and Levi, Yam and Lorenz, Dominik and Sauer, Axel and Boesel, Frederic and others},
  booktitle={Forty-first international conference on machine learning},
  year={2024}
}

@inproceedings{rombach2022high,
  title={High-resolution image synthesis with latent diffusion models},
  author={Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={10684--10695},
  year={2022}
}

@inproceedings{radford2021learning,
  title={Learning transferable visual models from natural language supervision},
  author={Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and others},
  booktitle={International conference on machine learning},
  pages={8748--8763},
  year={2021},
  organization={PmLR}
}

@article{ramesh2022hierarchical,
  title={Hierarchical text-conditional image generation with clip latents},
  author={Ramesh, Aditya and Dhariwal, Prafulla and Nichol, Alex and Chu, Casey and Chen, Mark},
  journal={arXiv preprint arXiv:2204.06125},
  volume={1},
  number={2},
  pages={3},
  year={2022}
}

@article{saharia2022photorealistic,
  title={Photorealistic text-to-image diffusion models with deep language understanding},
  author={Saharia, Chitwan and Chan, William and Saxena, Saurabh and Li, Lala and Whang, Jay and Denton, Emily L and Ghasemipour, Kamyar and Gontijo Lopes, Raphael and Karagol Ayan, Burcu and Salimans, Tim and others},
  journal={Advances in neural information processing systems},
  volume={35},
  pages={36479--36494},
  year={2022}
}

@article{yu2022scaling,
  title={Scaling autoregressive models for content-rich text-to-image generation},
  author={Yu, Jiahui and Xu, Yuanzhong and Koh, Jing Yu and Luong, Thang and Baid, Gunjan and Wang, Zirui and Vasudevan, Vijay and Ku, Alexander and Yang, Yinfei and Ayan, Burcu Karagol and others},
  journal={arXiv preprint arXiv:2206.10789},
  volume={2},
  number={3},
  pages={5},
  year={2022}
}


@inproceedings{naik2023social,
  title={Social biases through the text-to-image generation lens},
  author={Naik, Ranjita and Nushi, Besmira},
  booktitle={Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society},
  pages={786--808},
  year={2023}
}


@article{wan2024survey,
  title={Survey of bias in text-to-image generation: Definition, evaluation, and mitigation},
  author={Wan, Yixin and Subramonian, Arjun and Ovalle, Anaelia and Lin, Zongyu and Suvarna, Ashima and Chance, Christina and Bansal, Hritik and Pattichis, Rebecca and Chang, Kai-Wei},
  journal={arXiv preprint arXiv:2404.01030},
  year={2024}
}

@article{shukla2025biasconnect,
  title={BiasConnect: Investigating Bias Interactions in Text-to-Image Models},
  author={Shukla, Pushkar and Chinchure, Aditya and Diana, Emily and Tolbert, Alexander and Hosanagar, Kartik and Balasubramanian, Vineeth N and Sigal, Leonid and Turk, Matthew A},
  journal={arXiv preprint arXiv:2503.09763},
  year={2025}
}